Kriging of financial term-structures
Areski Cousin (),
Hassan Maatouk () and
Didier Rulliere ()
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Areski Cousin: SAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1
Hassan Maatouk: Ecole Nationale Supérieure des Mines de St Etienne, GdR MASCOT-NUM - Méthodes d'Analyse Stochastique des Codes et Traitements Numériques - CNRS - Centre National de la Recherche Scientifique
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Due to the lack of reliable market information, building financial term-structures may be associated with a significant degree of uncertainty. In this paper, we propose a new term-structure interpolation method that extends classical spline techniques by additionally allowing for quantification of uncertainty. The proposed method is based on a generalization of kriging models with linear equality constraints (market-fit conditions) and shape-preserving conditions such as monotonicity or positivity (no-arbitrage conditions). We define the most likely curve and show how to build confidence bands. The Gaussian process covariance hyper-parameters under the construction constraints are estimated using cross-validation techniques. Based on observed market quotes at different dates, we demonstrate the efficiency of the method by building curves together with confidence intervals for term-structures of OIS discount rates, of zero-coupon swaps rates and of CDS implied default probabilities. We also show how to construct interest-rate surfaces or default probability surfaces by considering time (quotation dates) as an additional dimension.
Keywords: interest-rate curve; kriging; implied default distribution; OIS discount curve; Model risk; yield curve; no-arbitrage constraints (search for similar items in EconPapers)
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Published in European Journal of Operational Research, Elsevier, 2016, 255 (2), pp.631-648.
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Journal Article: Kriging of financial term-structures (2016)
Working Paper: Kriging of financial term-structures (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01206388
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